Founding Engineer

Camley; India; Hybrid; INR 400,000 - 800,000; Full time

Job summary

Camley is hiring a founding full-stack AI engineer to build end-to-end products and shape agent architecture alongside the CTO. You will develop the core intelligence layer, knowledge graph, vector DB, and orchestration to form workflows for auditors.

You’ll own high-impact features from model integration to infra. Join a small, ambitious team across London and New York with openness to remote/hybrid for the right candidate.

Qualifications

• Experience building production software with 5+ years
• Proficiency in Python and production experience with LLM systems/agent frameworks
• Strong full-stack fundamentals across frontend, backend, and infra

Responsibilities

• Design and integrate LLM-powered pipelines and build agents that execute multi-step workflows
• Build the agent harness: orchestration, tool use, retries, and human-in-the-loop checkpoints
• Own the evals, validation, audit trails, and observability for correct and explainable agent behavior
• Ship features across React frontend and Python backend from database schemas to APIs to UI
• Collaborate with founders and early customers to map real fund workflows to product features

Skills

Product from 0 to 1

Production software (5+ yrs)

Full-stack fundamentals

Python & LLM systems

Ownership

AI coding tools expertise

Domain-specific agents

Tools

TypeScript/React

Python (FastAPI)

Postgres

AWS

Job description

Camley is building the agentic infrastructure for private markets.

Our clients are leading private equity and infrastructure investment firms, and we are at the forefront of transforming a $55T asset class that still runs on spreadsheets and software built in the 1990s. What Harvey did for legal, we are doing for private markets.

We are building the multi-agent architecture that operates funds end-to-end, solving the highest-stakes problems investment firms face with accuracy and speed. Our agents are not just chatbots - they move money and execute workflows autonomously.

We are backed by top VCs, incl. the first investor in Lovable and one of the most technical AI investors in Silicon Valley responsible for building Uber’s core algorithm. Camley is built by a team from Stanford, Harvard, IIT Delhi, and Penn, with decades of industry experience at McKinsey, SquarePoint, and Deutsche Bank + building foundation models for an Accel-backed startup.

About Camley

Camley is building the agentic infrastructure for private markets.

Our clients are leading private equity and infrastructure investment firms, and we are at the forefront of transforming a $55T asset class that still runs on spreadsheets and software built in the 1990s. What Harvey did for legal, we are doing for private markets.

We are building the multi-agent architecture that operates funds end-to-end, solving the highest-stakes problems investment firms face with accuracy and speed. Our agents are not just chatbots - they move money and execute workflows autonomously.

We are backed by top VCs, incl. the first investor in Lovable and one of the most technical AI investors in Silicon Valley responsible for building Uber’s core algorithm. Camley is built by a team from Stanford, Harvard, IIT Delhi, and Penn, with decades of industry experience at McKinsey, SquarePoint, and Deutsche Bank + building foundation models for an Accel-backed startup.

About the role

We are hiring a founding full-stack AI engineer. You will build products end-to-end and shape agent architecture and technical decisions alongside the CTO. You’ll build the core intelligence layer - language models for reading documents, a knowledge graph & vector DB for storing data and relationships, a calculation engine for the fund mathematics and an orchestration layer that coordinates these into workflows that an auditor can sign. You'll own high-impact features across the stack, from model integration to infrastructure.

With Camley, you get the autonomy to do some of the best work of your life, and a founding team that values curiosity, collaboration, and not taking ourselves too seriously.

We are a small team working across London and New York. We are open to remote/hybrid for the right candidate.

What you will do

• Design and integrate LLM-powered pipelines and build agents that execute multi-step workflows reliably
• Build the agent harness: orchestration, tool use, retries, and human-in-the-loop checkpoints, and optimise agent performance across prompts, models, tools, and context
• Own the evals, validation, audit trails, and observability that keep agent behaviour correct, explainable, and improving
• Ship features across our React frontend and Python backend, from database schemas and APIs to polished UI, from idea to production
• Work directly with the founders and early customers to understand real fund workflows, and turn operational pain into shipped product

What we are looking for

We are looking for an exceptional engineer who wants the autonomy to shape a product from day 0, who loves the challenge of maintaining a strong quality bar while shipping extremely quickly, and who knows how to make smart tradeoffs to get features in front of customers.

Strong candidates have:

• Built products from 0 to 1
• 5+ years of experience building production software
• Strong full-stack fundamentals across frontend, backend, and infra
• Proficiency in Python and production experience building LLM systems/agent frameworks
• High ownership: you do not wait for a spec to start solving a problem
• Made AI coding tools (Claude Code, Codex, Cursor, or similar) a core part of how they work
• Passion for building effective domain-specific agents

Bonus points if you have:

• Experience in finance or financial services
• Data-intensive backend work
• Early-stage startup experience

Technology stack

Typescript/React, Python (FastAPI), Postgres, AWS, and an agent orchestration layer you will help design.